Amy Douglas
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 15
-
- Escherichia coli research studies 8
- Co-authors
- Claire Jenkins (10 shared papers)Paul Cleary (1 shared paper)Thomas Inns (2 shared papers)Roberto Vivancos (4 shared papers)Richard Elson (2 shared papers)Amy Mikhail (1 shared paper)Tim Dallman (1 shared paper)Jeremy Hawker (1 shared paper)
- Journals
- Epidemiology and Infection (4 papers)Eurosurveillance (3 papers)Microbial Genomics (2 papers)Journal of Medical Microbiology (2 papers)Journal of Medical Internet Research (1 paper)
- Partner nations
- United KingdomUnited StatesMaldives
In The Last Decade
Amy Douglas
19 papers receiving 205 citations
Peers
Comparison fields: 5 of 51
- Endocrinology 57
- Infectious Diseases 114
- Biotechnology 29
- Food Science 39
- Modeling and Simulation 8
Countries citing papers authored by Amy Douglas
This map shows the geographic impact of Amy Douglas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Amy Douglas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Douglas more than expected).
Fields of papers citing papers by Amy Douglas
This network shows the impact of papers produced by Amy Douglas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Amy Douglas. The network helps show where Amy Douglas may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Douglas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 58 | |
| 2 | 2022 | 34 | |
| 3 | 2021 | 24 | |
| 4 | 2021 | 16 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 12 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2018 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 0 |
About Amy Douglas
Amy Douglas is a scholar working on Infectious Diseases, Endocrinology, Food Science, Epidemiology and Biotechnology, having authored 22 papers that have together received 210 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (15 papers), Escherichia coli research studies (8 papers), Salmonella and Campylobacter epidemiology (7 papers), Respiratory viral infections research (3 papers), Listeria monocytogenes in Food Safety (2 papers), Neonatal Health and Biochemistry (1 paper), Food Safety and Hygiene (1 paper) and Essential Oils and Antimicrobial Activity (1 paper). The work is most often cited by research in Endocrinology (57 citations), Infectious Diseases (114 citations), Biotechnology (29 citations), Food Science (39 citations) and Modeling and Simulation (8 citations). Amy Douglas has collaborated with scholars based in United Kingdom, United States and Maldives. Frequent co-authors include Claire Jenkins, Paul Cleary, Thomas Inns, Roberto Vivancos, Richard Elson, Amy Mikhail, Tim Dallman, Jeremy Hawker, Antonio Isidro Carrión Martín and Lesley Larkin. Their work appears in journals such as Epidemiology and Infection, Eurosurveillance, Microbial Genomics, Journal of Medical Microbiology and Journal of Medical Internet Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.